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Titlebook: Complex Networks XII; Proceedings of the 1 Andreia Sofia Teixeira,Diogo Pacheco,Ronaldo Menez Conference proceedings 2021 The Editor(s) (if

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发表于 2025-3-21 16:48:25 | 显示全部楼层 |阅读模式
书目名称Complex Networks XII
副标题Proceedings of the 1
编辑Andreia Sofia Teixeira,Diogo Pacheco,Ronaldo Menez
视频videohttp://file.papertrans.cn/232/231500/231500.mp4
概述Contains contributions presented at the 12th International Conference on Complex Networks.Aims to explore and celebrate this interdisciplinary nature of complex networks.Discusses ideas and findings a
丛书名称Springer Proceedings in Complexity
图书封面Titlebook: Complex Networks XII; Proceedings of the 1 Andreia Sofia Teixeira,Diogo Pacheco,Ronaldo Menez Conference proceedings 2021 The Editor(s) (if
描述.This book contains contributions presented at the 12th International Conference on Complex Networks (CompleNet), 24-26 May 2021. CompleNet is an international conference on complex networks that brings together researchers and practitioners from diverse disciplines—from sociology, biology, physics, and computer science—who share a passion to better understand the interdependencies within and across systems.  CompleNet is a venue to discuss ideas and findings about all types networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate..
出版日期Conference proceedings 2021
关键词Conference Proceedings; Graph Theory; Complex Systems; Computer Science; Collective Behaviour; Data Scien
版次1
doihttps://doi.org/10.1007/978-3-030-81854-8
isbn_softcover978-3-030-81856-2
isbn_ebook978-3-030-81854-8Series ISSN 2213-8684 Series E-ISSN 2213-8692
issn_series 2213-8684
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Game of Thieves and WERW-Kpath: Two Novel Measures of Node and Edge Centrality for Mafia Networks,es is formally described by a set of measures called centralities which are typically studied for graphs of small size. The proliferation of digital collection of data has led to huge graphs with billions of nodes and edges. For this reason, we focus on two new algorithms, Game of Thieves and WERW-K
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Logistics Route Planning in Agent-Based Simulation and Its Optimization Represented in Higher-Orderh selection and their influences on the following procedures. Solving this task by multi-agent simulations, we examine the route optimization process by monitoring motions in networks based on simple or higher-order Markov chains (MCs). Agent footprints in the networks, which spread over the entire
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Degree-Degree Correlation in Networks with Preferential Attachment Based Growth,l attachment mechanism: the Barabási-Albert model and the triadic closure model. The average nearest neighbor degree (ANND) value of .-degree nodes, defined as their neighbors’ average degree, is employed to quantify the degree-degree assortativity in the networks. First, we derive the dynamics of t
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On Measuring the Diversity of Organizational Networks,ole. However, in many fields there is a severe under-representation of minority groups; moreover, minority individuals may be segregated from the rest of the network or isolated from one another. While the problem of increasing the representation of minority groups in various fields has been well-st
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https://doi.org/10.1007/978-3-7643-9904-7ctual cascade data from Twitter. The results show that even when 10% of users are hidden, the accuracies of existing community detection algorithms are nearly the same as when information about all users is available, suggesting high robustness of existing algorithms. However, we show that when many
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,The Japanese stems (πN, 9≤N≤31), fingerprinting algorithm to obtain probabilistic similarity scores for individual words, then combine them to give a paper-level relevance score. The outcomes of our analysis inform a number of interesting insights on advancing the field of TwML research.
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